This paper is devoted to a systematic study and characterizations of the fundamental notions of variational and strong variational convexity for lower semicontinuous functions. While …
The paper is devoted to the study, characterizations, and applications of variational convexity of functions, the property that has been recently introduced by Rockafellar together …
The paper is devoted to a systematic study and characterizations of notions of local maximal monotonicity and their strong counterparts for set-valued operators that appear in variational …
The paper is devoted to establishing relationships between global and local monotonicity, as well as their maximality versions, for single-valued and set-valued mappings between …
MT Nadi, J Zafarani - Journal of Global Optimization, 2023 - Springer
We show that the positive semi-definiteness of the regular or limiting (Mordukhovich) second- order subdifferential of an approximately convex function is a sufficient condition for its …
Lipschitzian Stability via Second-Order Subdifferentials | SpringerLink Skip to main content Advertisement SpringerLink Account Menu Find a journal Publish with us Track your …
This paper concerns the interconnection between the positive definiteness of limiting coderivative and the local strong maximal monotonicity of set-valued mappings suspected in …
M Jiang, R Shen, Z Meng, C Dang - arXiv preprint arXiv:2202.07317, 2022 - arxiv.org
This paper defines a strong convertible nonconvex (SCN) function for solving the unconstrained optimization problems with the nonconvex or nonsmooth (nondifferentiable) …